Senior Solutions Architect

Lead technical strategy for customer accounts, from discovery through production deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, and real-time analytics. Advise senior customer architects and engineering leaders, lead architecture discussions, build custom demonstrations, coordinate cross-functional resources, and influence product direction. The role requires strong Python and SQL coding, distributed data systems expertise, public-cloud deployment experience, and the ability to translate technical architectures into business value. The summary above was generated by AI

FEQ128R27 As a Solutions Architect, you will lead the technical strategy for your customers - owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.

The Impact You Will Have

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions - designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
• Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps, Designs and delivers large-scale AI and HPC GPU cloud infrastructure for NVIDIA Cloud Partners in the telecommunications sector. Serves as the primary technical advisor across solution design, development, integration, deployment, and production. Builds proofs of concept, integrates AI software stacks and models, leads customer technical engagements, delivers workshops and reference architectures, and partners with engineering, product, sales, and business teams. The role requires expertise in deep learning, LLMs, distributed cloud architectures, GPU technologies, MLOps, and customer-facing solution engineering, with up to 40% travel. Top Skills: Ai BenchmarkingAWSBase Command ManagerDcgmDeep LearningDistributed Cloud ArchitecturesGenerative AiGoogle Cloud PlatformGpu Cloud InfrastructureHybrid Cloud InfrastructureKubernetesLarge Language ModelsLoad BalancingMachine LearningAzureMission ControlMlopsModel Fine-TuningNcclNemo RetrieverNvidia Cuda-XNvidia DynamoNvidia GpusNvidia Nemo FrameworkNvidia NemotronNvidia Triton Inference ServerPythonPyTorchSlurmTensorFlowTensorrtTensorrt-LlmUfm MetLife

Director, Group Benefits Data Strategy

4 Hours Ago Remote or Hybrid United States 125K-170K Annually Senior level 125K-170K Annually Senior level Fintech * Information Technology * Insurance * Financial Services * Big Data Analytics Leads data strategy for MetLife’s Group Benefits business by connecting business and Data & Analytics teams, establishing shared definitions, resolving ownership gaps, and improving governance and quality. The role leads Data Councils, supports Agile Release Trains, removes data-related blockers, and strengthens data foundations for decision-making, service delivery, analytics, and AI initiatives. Top Skills: Agile Release Trains (Arts)AIAnalyticsData GovernanceData Quality MetLife, Performs daily accounting functions supporting incoming and outgoing funds, including wire processing, disbursements, misdirected money, suspense reconciliations, and cash reconciliations. Analyzes financial transactions, maintains general ledger accounts, investigates discrepancies, resolves reconciliation exceptions, and improves accounting processes, controls, and compliance. Partners collaboratively across teams to ensure accurate financial records and reliable customer and business fund operations.

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
• Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
• Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Databricks certifications (Data Engineer, ML, Platform)
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you’ll position against
• Background in a data/AI company or cloud provider
• Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $180,000-$247,500 USD Zone 2 Pay Range $180,000-$247,500 USD Zone 3 Pay Range $180,000-$247,500 USD Zone 4 Pay Range $180,000-$247,500 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram., With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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